Configuration discrepancies, such as server drift among different servers or malicious code installed on one or more servers, can be identified using system attribute information regarding processes, CPU usage, memory usage, etc. The system attribute information can be used to generate an image, which can be compared to other images to determine if a configuration discrepancy exists. Image recognition algorithms can be used to facilitate image comparison for different systems. By identifying configuration discrepancies, downtime and other issues can be mitigated and system performance can be improved.